February 19, 2019 to February 20, 2019
Speaker: Kuang Xu (Stanford University)
The increasing ubiquity of large-scale infrastructures for surveillance and data analysis has made understanding the impact of privacy a pressing priority in many domains. We propose a framework for studying a fundamental cost vs. privacy...
February 26, 2019 to February 27, 2019
Speaker: Salman Avestimehr (University of Southern California)
This talk introduces "Coded Computing”, a new framework that brings concepts and tools from information theory and coding into distributed computing to mitigate several performance bottlenecks that arise in large-scale distributed computing...
March 12, 2019 to March 13, 2019
Speaker: Julien Hendrickx (UCLouvain)
Joint work with Adrien Taylor (INRIA) and Francois Glineur (UCLouvain).
We show that the exact worst-case performances of a wide class of first-order convex optimization algorithms can be obtained as solutions to semi-definite programs,...
April 9, 2019 to April 10, 2019
Speaker: Gah-Yi Ban (London Business School)
We consider a seller who can dynamically adjust the price of a product at the individual customer level, by utilizing information about customers’ characteristics encoded as a $d$-dimensional feature vector. We assume a personalized demand...
April 23, 2019 to April 24, 2019
Speaker: Yoram Singer (Princeton University & Google)
Adaptive gradient-based optimizers such as AdaGrad and Adam are among the methods of choice in modern machine learning. These methods maintain second-order statistics of each model parameter, thus doubling the memory footprint of the...
April 30, 2019 to May 1, 2019
Speaker: Youssef Marzouk (MIT)
Bayesian inference for non-Gaussian state-space models is a ubiquitous problem with applications ranging from geophysical data assimilation to mathematical finance. We will discuss how deterministic couplings between probability...
May 14, 2019 to May 15, 2019
Speaker: Mihaela van der Schaar (University of Cambridge)
The overarching goal of my research is to develop cutting-edge machine learning, AI and operations research theory, methods, algorithms, and systems to understand the basis of health and disease; develop methodology to catalyze clinical...
